Research Article
Artificial Immune System based PID Tuning for DC Servo Speed Control
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 155 - Issue 2 |
| Published: Dec 2016 |
| Authors: Muna Hadi Saleh, Saad Zaid Saad |
10.5120/ijca2016912265
|
Muna Hadi Saleh, Saad Zaid Saad . Artificial Immune System based PID Tuning for DC Servo Speed Control. International Journal of Computer Applications. 155, 2 (Dec 2016), 23-26. DOI=10.5120/ijca2016912265
@article{ 10.5120/ijca2016912265,
author = { Muna Hadi Saleh,Saad Zaid Saad },
title = { Artificial Immune System based PID Tuning for DC Servo Speed Control },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 155 },
number = { 2 },
pages = { 23-26 },
doi = { 10.5120/ijca2016912265 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Muna Hadi Saleh
%A Saad Zaid Saad
%T Artificial Immune System based PID Tuning for DC Servo Speed Control%T
%J International Journal of Computer Applications
%V 155
%N 2
%P 23-26
%R 10.5120/ijca2016912265
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, the application of the Artificial Immune System (AIS) algorithm for optimization problems is presented, DC Servo Motor (DCSM) speed control was taken as a case study. The PID controller was tuned using AIS algorithm by minimizing the Integral Time Absolute Error (ITAE). The results were compared with the results of the Ziegler-Nichols tuning method and it was obvious that the AIS gives better results. The AIS algorithm showed it has the ability to find the global optimum solution and it gave a response better than the response of the traditional tuning methods in terms of rise time, settling time, steady state error and overshoot.
References
- Edmund K. Burke . Graham Kendall, “Artificial Immune System,” in Search Methodologies,2nd ed. New York City: springer, sec. 7.2.4, pp. 191, 2014.
- J.R. Al-Enezi, M.F. Abbod & S. Alsharhan,“ Artificial Immune Systems – Models, Algorithms And Applications,” in International Journal of Research and Reviews in Applied Sciences, IJRRAS, 2010.
- Neenu Thomas and Dr. P. Poongodi, “Position Control of DC Motor Using Genetic Algorithm Based PID Controller,” in World Congress on Engineering., London., WCE, 2009.
- Juan Carlos et al., “A Micro Artificial Immune System” in Polibits, Mexico City, Mexico, 2011.
- Bindu R. and Mini K., “Tuning of PID Controller for DC Servo Motor using Genetic Algorithm” in International Journal of Emerging Technology and Advanced Engineering, New Delhi, India, IJETAE, 2012.
- Rames C. Panda, “PID Controller Design for Specified Performance,” in Introduction To PID Controllers – Theory, Tuning And Application To Frontier Areas, 1st ed. :In Tech, sec. 1, pp. 4, 2012.
- katsuhiko ogata, “PID Controllers and Modified PID Controllers,” in Modern Control Engineering, 5th ed.: New Jersey,Prentice Hall, sec. 8.2, pp. 568, 2010.
- Raymond Chiong, “Social-Natural Intelligence,” in Nature-Inspired Algorithms for Optimisation, 1st ed. New York City: springer, sec. IV, pp. 389, 2009.
- Maoguo Gong et al., “Orthogonal Immune Algorithm with Diversity-based Selection for Numerical Optimization,” in Association for Computing Machinery., New York City., ACM, 2009.
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